G-code programming applied in human voice frequency analysis
Cazangiu Diana, Rosca Ileana-Constanta · 2013
This paper presents an G-code algorithm that could be applied in signal processing. The aim of this algorithm is to extract the feature from a noised signal by denoising (noise removing) wavelet transformation method. Using a graphical programming environment, LabVIEW (Laboratory Virtual Instrumentation Engineering Workbench), an application for the detection of the emotions from the human voice is developed. This becomes possible by processing and analysis of the human voice frequency.